Matches in SemOpenAlex for { <https://semopenalex.org/work/W4318454227> ?p ?o ?g. }
- W4318454227 abstract "The purpose behind this research is to utilize the knack of Bayesian solver to determine numerical solution of functional differential equations arising in the quantum calculus models. Functional differential equations having discrete versions are very difficult to solve due to the presence of delay term, here with the implementation of Bayesian solver with means of neural networks, an efficient technique has been developed to overcome the complication in the model. First, the functional differential systems are converted into recurrence relations, then datasets are generated for converted recurrence relations to construct continuous mapping for neural networks. Second, the approximate solutions are determined through employing training and testing steps on generated datasets to learn the neural networks. Furthermore, comprehensive statistical analysis are presented by applying various statistical operators such as, mean squared error (MSE), regression analysis to confirm both accuracy as well as stability of the proposed technique. Moreover, its rapid convergence and reliability is also endorsed by the histogram, training state and correlation plots. Expected level for accuracy of suggested technique is further endorsed with the comparison of attained results with the reference solution. Additionally, accuracy and reliability is also confirmed by absolute error analysis." @default.
- W4318454227 created "2023-01-30" @default.
- W4318454227 creator A5048315421 @default.
- W4318454227 creator A5069175841 @default.
- W4318454227 creator A5085053647 @default.
- W4318454227 date "2023-01-28" @default.
- W4318454227 modified "2023-10-16" @default.
- W4318454227 title "Intelligent computing with the knack of Bayesian neural networks for functional differential systems in Quantum calculus model" @default.
- W4318454227 cites W1990514347 @default.
- W4318454227 cites W2045250771 @default.
- W4318454227 cites W2126661253 @default.
- W4318454227 cites W2162918850 @default.
- W4318454227 cites W2268786327 @default.
- W4318454227 cites W2572812392 @default.
- W4318454227 cites W2604193156 @default.
- W4318454227 cites W2788922182 @default.
- W4318454227 cites W2802481803 @default.
- W4318454227 cites W2804988839 @default.
- W4318454227 cites W2811287831 @default.
- W4318454227 cites W2856922204 @default.
- W4318454227 cites W2889527109 @default.
- W4318454227 cites W2898731696 @default.
- W4318454227 cites W2904039074 @default.
- W4318454227 cites W2914981733 @default.
- W4318454227 cites W2918269478 @default.
- W4318454227 cites W2921935364 @default.
- W4318454227 cites W2959736369 @default.
- W4318454227 cites W2985853022 @default.
- W4318454227 cites W2989358829 @default.
- W4318454227 cites W2998707382 @default.
- W4318454227 cites W3004060679 @default.
- W4318454227 cites W3004965358 @default.
- W4318454227 cites W3008430105 @default.
- W4318454227 cites W3010378320 @default.
- W4318454227 cites W3015568951 @default.
- W4318454227 cites W3028081683 @default.
- W4318454227 cites W3028247906 @default.
- W4318454227 cites W3036631204 @default.
- W4318454227 cites W3038344063 @default.
- W4318454227 cites W3042009325 @default.
- W4318454227 cites W3042632488 @default.
- W4318454227 cites W3047623305 @default.
- W4318454227 cites W3084527880 @default.
- W4318454227 cites W3085408662 @default.
- W4318454227 cites W3087671861 @default.
- W4318454227 cites W3098594497 @default.
- W4318454227 cites W3104224389 @default.
- W4318454227 cites W3112173448 @default.
- W4318454227 cites W3114073959 @default.
- W4318454227 cites W3118577024 @default.
- W4318454227 cites W3127670633 @default.
- W4318454227 cites W3134725663 @default.
- W4318454227 cites W3139000130 @default.
- W4318454227 cites W3163000648 @default.
- W4318454227 cites W3174390285 @default.
- W4318454227 cites W3174816388 @default.
- W4318454227 cites W3196553427 @default.
- W4318454227 cites W3208320976 @default.
- W4318454227 cites W4200125599 @default.
- W4318454227 cites W4206759429 @default.
- W4318454227 cites W4206831604 @default.
- W4318454227 cites W4213056330 @default.
- W4318454227 cites W4213416881 @default.
- W4318454227 cites W4220807914 @default.
- W4318454227 cites W4220919169 @default.
- W4318454227 cites W4283748740 @default.
- W4318454227 cites W4284889313 @default.
- W4318454227 cites W4284892398 @default.
- W4318454227 cites W4286254027 @default.
- W4318454227 cites W4292260715 @default.
- W4318454227 cites W4292263680 @default.
- W4318454227 cites W4293428549 @default.
- W4318454227 doi "https://doi.org/10.1142/s021797922350217x" @default.
- W4318454227 hasPublicationYear "2023" @default.
- W4318454227 type Work @default.
- W4318454227 citedByCount "0" @default.
- W4318454227 crossrefType "journal-article" @default.
- W4318454227 hasAuthorship W4318454227A5048315421 @default.
- W4318454227 hasAuthorship W4318454227A5069175841 @default.
- W4318454227 hasAuthorship W4318454227A5085053647 @default.
- W4318454227 hasConcept C105795698 @default.
- W4318454227 hasConcept C107673813 @default.
- W4318454227 hasConcept C112972136 @default.
- W4318454227 hasConcept C11413529 @default.
- W4318454227 hasConcept C115961682 @default.
- W4318454227 hasConcept C119857082 @default.
- W4318454227 hasConcept C134306372 @default.
- W4318454227 hasConcept C139945424 @default.
- W4318454227 hasConcept C154945302 @default.
- W4318454227 hasConcept C162324750 @default.
- W4318454227 hasConcept C199360897 @default.
- W4318454227 hasConcept C2777303404 @default.
- W4318454227 hasConcept C2778770139 @default.
- W4318454227 hasConcept C28826006 @default.
- W4318454227 hasConcept C33923547 @default.
- W4318454227 hasConcept C41008148 @default.
- W4318454227 hasConcept C50522688 @default.
- W4318454227 hasConcept C50644808 @default.
- W4318454227 hasConcept C51544822 @default.
- W4318454227 hasConcept C53533937 @default.